What knowledge and skills can you gain from statistics courses on Coursera?

Statistics courses on Coursera can help equip you with analytical skills and mathematical knowledge to effectively interpret data: Understanding of statistical theory, including probability, distributions, and hypothesis testing. Skills in applying statistical methods to real-world problems across various industries. Proficiency in using statistical software tools like R, Python, or SPSS to analyze and visualize data. Techniques for designing experiments and surveys to collect data efficiently. Knowledge of regression analysis, ANOVA, and other statistical models. Insights into big data analytics, including machine learning algorithms driven by statistical principles. Application of statistics in specialized fields such as biostatistics, econometrics, or psychological statistics.

Do I need prior knowledge in statistics to enroll in these courses?

Statistics courses on Coursera are designed to accommodate learners at different stages of their educational or professional journey: Introductory courses are suitable for those new to statistics, offering foundational knowledge and basic application skills. Intermediate courses build upon basic statistics knowledge, introducing more complex analyses and applications. Advanced courses cater to individuals with a solid background in statistics, focusing on specialized topics or advanced analytical techniques.

What types of certifications and credentials can you pursue through statistics courses on Coursera?

Coursera provides various educational pathways to help validate your skills in statistics: Professional certificates that can help you demonstrate your competence in statistical analysis. Specialized course certificates that focus on particular aspects of statistics, such as data science or predictive analytics. Degree programs and professional qualifications that prepare you for roles involving extensive use of statistics. These credentials are intended to enhance your professional qualifications and assist you in advancing your career in fields reliant on statistical analysis.

What career opportunities can knowledge in statistics lead to?

Studying statistics on Coursera can prepare you for a variety of roles in data-intensive sectors: Data Analyst : Utilize statistical tools and methods to interpret data and inform business decisions. Statistical Consultant: Provide expertise to organizations on statistical methods, data collection, and analysis. Biostatistician : Apply statistics to biological sciences and public health. Econometrician: Use statistical techniques to study economic data and trends. Quality Control Analyst: Implement statistical methods to assess product quality and maintain standards.

Are there free statistics courses or certifications available on Coursera?

Yes, Coursera offers a variety of free courses across many topics, including statistics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.

Top Statistics Courses - Learn Statistics Online

Explore the Statistics Course Catalog

Status: New AI skills
Google
Google Data Analytics
Skills you'll gain: Data Storytelling, Data Visualization, Data Presentation, Data Ethics, Rmarkdown, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), Analytics, Stakeholder Management
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
166K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: New
University of Colorado Boulder
Statistics and Applied Data Analysis
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
31 reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Data Analysis with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Software, Bayesian Statistics, R Programming, Statistical Analysis, Data Analysis, Statistical Modeling, Probability, Statistics, Data Science, Statistical Methods, Descriptive Statistics, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Bayesian Statistics
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
3.8
Rating, 3.8 out of 5 stars
796 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Data Science Foundations: Statistical Inference
Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistical Inference, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Data Ethics, Data Science, Data Analysis, Quantitative Research, Sample Size Determination
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
318 reviews
Intermediate · Specialization · 3 - 6 Months
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Biostatistics, Data Analysis, Statistical Software, Exploratory Data Analysis, Quantitative Research, Probability & Statistics, Statistical Methods, R Programming, Statistics, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Statistics For Data Science
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference, Exploratory Data Analysis
3.9
Rating, 3.9 out of 5 stars
33 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Data Manipulation, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
142K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
Understanding Data: Navigating Statistics, Science, and AI
Skills you'll gain: Histogram, Generative AI, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Science and Research, Data-Driven Decision-Making, Research Design, Analytical Skills, Research, Exploratory Data Analysis, Artificial Intelligence, OpenAI
4.6
Rating, 4.6 out of 5 stars
28 reviews
Beginner · Specialization · 1 - 3 Months
University of Colorado Boulder
Statistical Modeling for Data Science Applications
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Predictive Analytics, Probability & Statistics, Mathematical Modeling, Forecasting, A/B Testing, Quantitative Research
Build toward a degree
4.1
Rating, 4.1 out of 5 stars
52 reviews
Intermediate · Specialization · 3 - 6 Months
Imperial College London
Statistical Analysis with R for Public Health
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Biostatistics, Data Analysis, R Programming, Descriptive Statistics, Statistical Software, Statistical Modeling, Quantitative Research, Exploratory Data Analysis, Probability & Statistics, Statistics, Statistical Methods, Data Wrangling, Statistical Inference, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
2K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months